MSc in Applied Data Science and Statistics, University of Exeter

Exeter,

12 Months

Check Eligibility

About this course

This well-established conversion course at the University of Exeter is designed to equip students with crucial data science skills and the fundamental mathematics that underpin them. No prior programming experience is needed, as students will learn programming in Python and R from scratch. The course emphasizes working extensively with data to develop statistical analysis capabilities, interpret findings, and communicate results effectively, even in the presence of bias and uncertainty. Students will also learn to extract hidden insights from data to support ethical decision-making. The program combines practical projects, theoretical learning, and a focus on applications across various sectors, providing a comprehensive foundation for a career as a responsible data scientist or analyst. The course’s structure includes modules on data governance and ethics, ensuring students understand the societal implications of data technology.

Why this course is highly recommended

This course benefits from the expertise of faculty in the Mathematics and Statistics department and a long-established network of over 600 graduates. It is associated with the Alan Turing Institute and the Institute of Data Science and Artificial Intelligence, offering access to cutting-edge research and facilities. The practical focus, extensive project work, and strong industry connections make it ideal for students seeking to build a robust career in data science. As the demand for data professionals continues to grow, this program provides a solid foundation in both theoretical and practical aspects of data analysis.

Specialisation

The course specializes in applied data science and statistics, integrating core mathematics with practical skills in data analysis, programming, and communication. It is designed to prepare students for diverse roles by covering a wide range of applications in data science, including data collection, interrogation, analysis, visualization, and interpretation. The program also emphasizes the ethical use of data, reflecting its focus on responsible data handling and decision-making.

Course fees

Application fees

1st year tuition fees

31.99L

Living cost

Degree requirements

Applicants should have a good degree, typically a 2:2 classification. International applicants need to meet the English language requirements listed under Profile B3, which can be verified on the university's requirements page. Prior experience in coding is not necessary for this course.

English language test

DUOLINGO

120

IELTS

6.5

TOEFL

PTE

Career prospects

Graduates of this program are highly sought after, with a demand for statistically-trained data scientists increasing significantly, as projected by industry reports. Previous students have gone on to work in various organizations, ranging from startups to multinational corporations worldwide. The university offers dedicated career support through its Career Zone team, providing guidance, industry contacts, and workshops to enhance employability in roles like data analyst, data scientist, or big data specialist.

FAQs

Do I need prior coding experience to join this course?

No, prior coding experience is not required. You'll learn programming in Python and R during the course.

What are the main topics covered in the program?

The program covers data collection, interrogation, analysis, visualization, communication, ethics, and responsible data handling, along with modules in statistical and data science modeling.